wrap_model_call() — langchain Function Reference

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_structured_output_retry.py lines 32–64

    def wrap_model_call(
        self, request: ModelRequest, handler: Callable[[ModelRequest], ModelResponse]
    ) -> ModelResponse:
        """Intercept and control model execution via handler callback.

        Args:
            request: The model request containing messages and configuration.
            handler: The function to call the model.

        Returns:
            The model response.

        Raises:
            StructuredOutputError: If max retries exceeded without success.
        """
        for attempt in range(self.max_retries + 1):
            try:
                return handler(request)
            except StructuredOutputError as exc:
                if attempt == self.max_retries:
                    raise

                # Include both the AI message and error in a single human message
                # to maintain valid chat history alternation
                ai_content = exc.ai_message.content
                error_message = (
                    f"Your previous response was:\n{ai_content}\n\n"
                    f"Error: {exc}. Please try again with a valid response."
                )
                request.messages.append(HumanMessage(content=error_message))

        # This should never be reached, but satisfies type checker
        return handler(request)